Machine Learning Engineer/Data Scientist

We are looking for an enthusiastic Machine Learning Engineer/Data Scientist to join our dynamic team. You will work on developing high-throughput, low-latency ML systems that impact millions of users daily. Our ecosystem is fully distributed and microservice-structured, hosted on AWS.

Key Responsibilities

• Develop and optimize large-scale machine learning solutions.
• Design and implement ML applications while maintaining high coding standards.
• Enhance NLP systems for product matching, deduplication, and entity resolution using BeRT, Sentence-Transformers, etc.
• Improve visual transformer-based image search and deduplication systems with OpenCV, CLIP, and Milvus.
• Monitor and track model performance using the ELK stack and take necessary actions.
• Clean, preprocess, and analyze large datasets to extract meaningful insights.
• Design and conduct experiments to evaluate and optimize ML models.

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, or related fields.
• 3+ Years Experience in Machine Learning/Data Science
• Experience in building NLP solutions in fields like product matching, classification, search, or recommendation.
• Proficiency in Python and NLP libraries such as NLTK, SpaCy, Hugging Face Transformers.
• Familiarity with data science libraries (Scikit-Learn, Numpy, Pandas) and deep learning frameworks (TensorFlow, PyTorch).
• Experience in MLOps, including Feature Store, Model Serving design, and operations.
• Strong foundation in computer science and statistics.

Preferred Qualifications

• Experience with Docker and Kubernetes.
• Familiarity with CI/CD tools like Jenkins or Octopus.
• Knowledge of TensorBoard and MLFlow.
• Experience with AWS or GCP environments.
• Understanding of Backend and RestAPI Development.
• Experience with Triton Inference Server and Go is a plus.

Cultural Fit

• A proactive "can do" attitude with a solution-oriented mindset.
• Passion for coding and enjoying the process of creating innovative solutions.

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